10a incorporating data into chatbots

• Correlational analysis


  The p value indicates whether the correlation is significant
• How to create horizontal bars in Seaborn histograms

  • my_plot = sns.histplot(data = df, y = 'column')
• Displaying data within a dataframe

  1. Use display() instead of print()

  2. Add .values[0] to print a specific value from the dataframe
• Displaying plots within a chatbot

  1. Import a specific module within matplotlib

  2. Import a library called time

  3. Add two new lines to our chatbot: the first forces Python to show the plot, the second adds in a brief delay before continuing with the rest of the chatbot

  
• Showing images within a chatbot

  1. Add relevant image to Drive

  2. Connect Colab to Drive

  3. Import the IPython and time libraries

  4. Use the following syntax: path = '/content/drive/My Drive/etc/image.jpg', display(Image(filename = path)), time.sleep(.5)

  
• Calling functions within dictionaries

  1. Create a dictionary that pairs menu options with relevant functions

  2. Use the syntax: outputs = menu_dictionary[key](inputs)

  
• Inserting a delay between printed messages


  Use the time.sleep(n) function, where n is the number of seconds to pause